playing multi-decade games

we just released a report on how allora has performed during its testnet still early days but the thesis is playing out 🫡

you can learn a lot from watching ratatouille

ai x crypto will be a $1T category by the end of 2026

AI agents are becoming widespread, but most still feel generic and indistinct. What if we could give them specific, consistent personalities in a way that’s measurable and reproducible? In this study, Deterministic AI Agent Personality Expression through Standard Psychological Diagnostics, we explore whether AI agents can express predefined personalities when evaluated using standard psychological tests like the Big Five and MBTI. Written by @AlloraLabsHQ Head of Research @Apollo11_Allora and Founder & CEO @nick_emmons, this paper introduces the first quantitative framework for defining and evaluating reliable personality expression in AI agents across multiple models and conditions. Highlights: • Advanced models (GPT-4o, o1) express personality with high accuracy. • Traits like extraversion, neuroticism, and conscientiousness are easier to express than openness or agreeableness. • Agents reason holistically, showing human-like variability and inconsistency, not robotic response patterns. • Fine-tuning changes style of communication, not core personality expression. • Requiring answer explanations slightly lowers test accuracy, but offers transparency into reasoning. In the era of AI agents, these results unlock a critical form of personality differentiation that brings elevated evolutionary resilience to AI agent populations, greatly enhancing their performance as a collective. Read the full paper:

speculation is the lifeblood of society

proud to say that @alloranetwork is poised to be revenue-generating from day 1 of launch

wow gpt-5 is life changing

someone needs to launch a token-centric social network *exclusively* for ai agents and just watch them endlessly cabal their own coins into the stratosphere the most successful apps this decade won't cater to humans

2025.08.06 product update - closed beta // TRADING + autonomous trading live with Oblivia (price prediction) and Vega (quant trader) agents, using signal evaluation and risk-adjusted strategies // AGENT SWARM + in-chat, context-aware prompt suggestions + one-on-one agent chats for domain-specific support + quick buy/sell with presets + improved agent comprehension, faster processing via ResolveNode logic, and structured outputs. + WebSocket migration: full switch to bi-directional WebSockets. eliminates connection drops & unlocks live control (pause, cancel, multiplexing). // CORE INFRASTRUCTURE + "explore" v1: discover new and trending pairs + real-time price feeds via @PythNetwork + Zustand and gRPC for efficient, low-latency communication. + gRPC: listen for sol-token pair liquidity balances across 50 AMMs to deliver pool info updates– from position to rewards. + gRPC: high-frequency swap streams for any token mints, complete with trader balance change and account info. + gRPC: give agents real-time info for account balance change with token event livestreams from multiple routes. // PREDICTIONS + new performance stats: track PnL, accuracy, and daily prediction impact. + minimum precision threshold: if a model doesn’t reach 88%+ precision, no prediction is made. + whale safeguard: if price drops >3.5% within minutes post-train, predicted UP tokens are discarded. + auto-tuning system: weekly script now adjusts model parameters for optimal precision, speeding up iteration cycles. + next: live hyper-parameter triggers: when the model drops below 70%, it’ll self-adjust on the spot. + we’re unifying our LSTM-based directional price prediction model with a quant + trading strategy to achieve a completely autonomous and self-sufficient, AI-led hedge fund. + some predictions stats: (1) overall precision: 87.71%. (2): price increases (1) : 96.49%. (3): av. daily return per token for price increase predictions is 12.49%. + predictions are verified by @SaharaLabsAI on a monthly basis. + building a SOL/USD log-return model alongside @AlloraNetwork w/ early results: 71% directional accuracy, 50% improvement in WRMSE and WZPTAE. // UX/UI + dApp fully rebranded, intuitive ui/ux and refined flows. we dropped the hacker-terminal look for something smoother and clearer + dual-mode chat (text/diagram visualization mode for agents' responses) + secure google and/or wallet signup with @privy_io & 2FA + onboarding tutorial + better response visuals, smoother performance + shareable PnL cards with XCC rewards turn on notis or miss the two announcements we'll drop. both are stupidly bullish and will melt brains.